Conferences related to Veins

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2018 24th International Conference on Pattern Recognition (ICPR)

ICPR will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields

  • 2016 23rd International Conference on Pattern Recognition (ICPR)

    ICPR'2016 will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields.

  • 2014 22nd International Conference on Pattern Recognition (ICPR)

    ICPR 2014 will be an international forum for discussions on recent advances in the fields of Pattern Recognition; Machine Learning and Computer Vision; and on applications of these technologies in various fields.

  • 2012 21st International Conference on Pattern Recognition (ICPR)

    ICPR is the largest international conference which covers pattern recognition, computer vision, signal processing, and machine learning and their applications. This has been organized every two years by main sponsorship of IAPR, and has recently been with the technical sponsorship of IEEE-CS. The related research fields are also covered by many societies of IEEE including IEEE-CS, therefore the technical sponsorship of IEEE-CS will provide huge benefit to a lot of members of IEEE. Archiving into IEEE Xplore will also provide significant benefit to the all members of IEEE.

  • 2010 20th International Conference on Pattern Recognition (ICPR)

    ICPR 2010 will be an international forum for discussions on recent advances in the fields of Computer Vision; Pattern Recognition and Machine Learning; Signal, Speech, Image and Video Processing; Biometrics and Human Computer Interaction; Multimedia and Document Analysis, Processing and Retrieval; Medical Imaging and Visualization.

  • 2008 19th International Conferences on Pattern Recognition (ICPR)

    The ICPR 2008 will be an international forum for discussions on recent advances in the fields of Computer vision, Pattern recognition (theory, methods and algorithms), Image, speech and signal analysis, Multimedia and video analysis, Biometrics, Document analysis, and Bioinformatics and biomedical applications.

  • 2002 16th International Conference on Pattern Recognition


2018 25th IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE Signal Processing Society, is the premier forum for the presentation of technological advances and research results in the fields of theoretical, experimental, and applied image and video processing. ICIP 2018, the 25th in the series that has been held annually since 1994, brings together leading engineers and scientists in image and video processing from around the world.


2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob)

The RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics - BioRob 2018 - is a joint effort of the two IEEE Societies of Robotics and Automation - RAS - and Engineering in Medicine and Biology - EMBS.BioRob covers both theoretical and experimental challenges posed by the application of robotics and mechatronics in medicine and biology. The primary focus of Biorobotics is to analyze biological systems from a "biomechatronic" point of view, trying to understand the scientific and engineering principles underlying their extraordinary performance. This profound understanding of how biological systems work, behave and interact can be used for two main objectives: to guide the design and fabrication of novel, high performance bio-inspired machines and systems for many different applications; and to develop novel nano, micro-, macro- devices that can act upon, substitute parts of, and assist human beings in prevention, diagnosis, surgery, prosthetics, rehabilitation.


2018 Chinese Control And Decision Conference (CCDC)

Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2017 29th Chinese Control And Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2016 Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create aforum for scientists, engineers and practitioners throughout the world to present the latestadvancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2015 27th Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2014 26th Chinese Control And Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create aforum for scientists, engineers and practitioners throughout the world to present the latestadvancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2013 25th Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2012 24th Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2011 23rd Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2010 Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies

  • 2009 Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2008 Chinese Control and Decision Conference (CCDC)


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Periodicals related to Veins

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Aerospace and Electronic Systems Magazine, IEEE

The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Communications Magazine, IEEE

IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...


Computational Biology and Bioinformatics, IEEE/ACM Transactions on

Specific topics of interest include, but are not limited to, sequence analysis, comparison and alignment methods; motif, gene and signal recognition; molecular evolution; phylogenetics and phylogenomics; determination or prediction of the structure of RNA and Protein in two and three dimensions; DNA twisting and folding; gene expression and gene regulatory networks; deduction of metabolic pathways; micro-array design and analysis; proteomics; ...


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Xplore Articles related to Veins

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Effects of preprocessing and layered neural networks on individual identification

[{u'author_order': 1, u'affiliation': u'Fac. of Eng., Tottori Univ., Japan', u'full_name': u'K. Nishimura'}, {u'author_order': 2, u'affiliation': u'Fac. of Eng., Tottori Univ., Japan', u'full_name': u'S. Kishida'}, {u'author_order': 3, u'full_name': u'T. Watanabe'}] Circuits and Systems, 2004. MWSCAS '04. The 2004 47th Midwest Symposium on, None

We constructed individual identification system of fingerprint by three- layered neural networks, and investigated the effects of preprocessing and neural networks on the recognition rates of individual identification. The fingerprint images were classified into four directions, then smoothing was done and the neural networks were optimized. From the results, we found that the recognition rates in our system were about ...


Automatic pancreas segmentation in contrast enhanced CT data using learned spatial anatomy and texture descriptors

[{u'author_order': 1, u'affiliation': u'Fraunhofer Institute for Computer Graphics Research (IGD), Cognitive Computing & Medical Imaging, Darmstadt, Germany', u'full_name': u'Marius Erdt'}, {u'author_order': 2, u'affiliation': u'Technische Universitaet Darmstadt, Graphisch-Interaktive Systeme, Germany', u'full_name': u'Matthias Kirschner'}, {u'author_order': 3, u'affiliation': u'Fraunhofer Institute for Computer Graphics Research (IGD), Cognitive Computing & Medical Imaging, Darmstadt, Germany', u'full_name': u'Klaus Drechsler'}, {u'author_order': 4, u'affiliation': u'Technische Universitaet Darmstadt, Graphisch-Interaktive Systeme, Germany', u'full_name': u'Stefan Wesarg'}, {u'author_order': 5, u'affiliation': u'University Hospital Erlangen, Radiology Institute, Germany', u'full_name': u'Matthias Hammon'}, {u'author_order': 6, u'affiliation': u'University Hospital Erlangen, Radiology Institute, Germany', u'full_name': u'Alexander Cavallaro'}] 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, None

Pancreas segmentation in 3-D computed tomography (CT) data is of high clinical relevance, but extremely difficult since the pancreas is often not visibly distinguishable from the small bowel. So far no automated approach using only single phase contrast enhancement exist. In this work, a novel fully automated algorithm to extract the pancreas from such CT images is proposed. Discriminative learning ...


FPGA-based embedded system implementation of finger vein biometrics

[{u'author_order': 1, u'affiliation': u'VLSI-eCAD Research Laboratory (VeCAD), Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia', u'full_name': u'M. Khalil-Hani'}, {u'author_order': 2, u'affiliation': u'VLSI-eCAD Research Laboratory (VeCAD), Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia', u'full_name': u'P. C. Eng'}] 2010 IEEE Symposium on Industrial Electronics and Applications (ISIEA), None

With the ubiquitous deployment and rapid growth of electronic information systems in today's society, personal or identity verification is now a critical key problem. Due to this fact, biometric authentication has emergently gaining popularity as it provides a high security and reliable approach for personal authentication. However, authentication using ones biometric features has not been widely implemented in a real ...


Optimal logistics outsourcing: A geometric approach

[{u'author_order': 1, u'affiliation': u'Tsinghua University, Beijing 100084', u'full_name': u'Yinhua Mai'}, {u'author_order': 2, u'affiliation': u'National University of Singapore, Singapore', u'full_name': u'Chung-Piaw Teo'}, {u'author_order': 3, u'affiliation': u'Shenzhen Graduate School, Tsinghua University, Shenzhen 510085', u'full_name': u'Lixin Miao'}] 2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM), None

We introduce a geometric approach to study logistics outsourcing issues in a principal-agent setting. A method is proposed to determine the optimal outsourcing contract, using the notion of general cost sharing function. Compared with traditional methods, this simplifies the discussion on optimal contract design significantly. This restriction of the contract space does not lead to any deterioration in performance as ...


Intra-hepatic vessel segmentation and classification in multi-phase CT using optimized graph cuts

[{u'author_order': 1, u'affiliation': u'Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA', u'full_name': u'Vivek Pamulapati'}, {u'author_order': 2, u'affiliation': u'Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA', u'full_name': u'Bradford J. Wood'}, {u'author_order': 3, u'affiliation': u'Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA', u'full_name': u'Marius George Linguraru'}] 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, None

The segmentation and classification of the major intra-hepatic blood vessels are critical for the robust identification of the segmental anatomy of the liver. We propose a novel 4D graph-based method to segment and label the hepatic and portal veins. The algorithm uses multi-phase CT images to model the differential enhancement of the liver structures and Hessian-based vesselness likelihood to avoid ...


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Educational Resources on Veins

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IEEE-USA E-Books

  • Liver Tissue Engineering

    We provide a description of the structure and function of the mammalian liver. This is followed by a discussion of medical conditions and current treatment modalities. We then provide specific examples of tissue engineering as it applies to fabricating the liver.



Standards related to Veins

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